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gslcca.r-forge.r-project.org

gslcca

Welcome to the gslcca project! Is a package for Generalized Semi-linear Canonical Correlation Analysis. GSLCCA estimates the parameters of a given nonlinear model to maximize the correlation with a linear combination of multiple response variables. This method was developed to characterize EEG power spectra under different treatment regimens in research and development projects at Pfizer. The authors are Foteini Strimenopoulou. Detecting Drug Effects in the Brain. Package history and availability.

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Welcome to the gslcca project! Is a package for Generalized Semi-linear Canonical Correlation Analysis. GSLCCA estimates the parameters of a given nonlinear model to maximize the correlation with a linear combination of multiple response variables. This method was developed to characterize EEG power spectra under different treatment regimens in research and development projects at Pfizer. The authors are Foteini Strimenopoulou. Detecting Drug Effects in the Brain. Package history and availability.
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gslcca | gslcca.r-forge.r-project.org Reviews

https://gslcca.r-forge.r-project.org

Welcome to the gslcca project! Is a package for Generalized Semi-linear Canonical Correlation Analysis. GSLCCA estimates the parameters of a given nonlinear model to maximize the correlation with a linear combination of multiple response variables. This method was developed to characterize EEG power spectra under different treatment regimens in research and development projects at Pfizer. The authors are Foteini Strimenopoulou. Detecting Drug Effects in the Brain. Package history and availability.

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heatherturner.net heatherturner.net

R packages - Dr Heather Turner

http://www.heatherturner.net/r-packages.html

Gnm: Generalized Nonlinear Models. These models are like generalized linear models (linear regression, logistic regression, log-linear models, etc.) but may also include one or more nonlinear terms in the predictor function (i.e., the right hand side of the regression equation). For an introduction, see the R News article. For regular R users) or the Statistical Computing and Graphics Newsletter article. For those less familiar with R). The Talks. These slides from useR! The package is still in developme...

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gslcca

Welcome to the gslcca project! Is a package for Generalized Semi-linear Canonical Correlation Analysis. GSLCCA estimates the parameters of a given nonlinear model to maximize the correlation with a linear combination of multiple response variables. This method was developed to characterize EEG power spectra under different treatment regimens in research and development projects at Pfizer. The authors are Foteini Strimenopoulou. Detecting Drug Effects in the Brain. Package history and availability.

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